Data Science Manager, reputed company

Who we are About reputed company reputed company is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use reputed company to accept payments, grow their reputed company, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering reputed company of work reputed company. That means you have an unprecedented opportunity to put the global economy reputed company everyone’s reputed company while doing the most important work of your career. About reputed company reputed company Data Science The reputed company Data Science team helps businesses on reputed company get started both quickly and effectively. We work closely with reputed company product and engineering leads to optimize every reputed company of the user reputed company, from awareness and acquisition, through product adoption, to usage reputed company and retention. reputed company is reputed company for being an experimentation powerhouse, for pushing the frontiers of reputed company analysis and cumulative reputed company measurement, and for developing a deep understanding of the user reputed company that helps drive the product roadmap. We work closely with reputed company Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams. What you’ll do Data Science Managers at reputed company are responsible for the reputed company of their team. You’ll be deeply involved in the modeling and design processes as reputed company as coaching, mentoring, and leading reputed company. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-reputed company. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Responsibilities Drive the roadmap and priorities for your team, and work with many reputed company leaders across reputed company to enhance our ability to be data driven. Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. reputed company and manage processes to help reputed company do its best work and engage effectively with the rest of reputed company Manage a high-performing team of data scientists, supporting them to reputed company a high level of technical reputed company and advance in their careers. Recruit and reputed company great data scientists, in collaboration with reputed company’s reputed company team Contribute to broad data science initiatives as a member of reputed company’s data science management team. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering). You have at least 3 years of reputed company management experience leading data science or ML teams, and 10 years of overall data science experience. You have demonstrated expertise in designing metrics and guiding business reputed company with data. You have technical expertise to drive reputed company with staff and senior scientists about architecture and strategic modeling reputed company. You’ve managed teams that have reputed company and shipped machine learning systems and data products at reputed company, and have hands-on experience with challenging problems. You work reputed company reputed company cross-functionally, and are reputed company to think rigorously and reputed company hard reputed company and tradeoffs. You have reputed company and persuasive communication skills in writing and verbally. You reputed company on a high level of autonomy and responsibility. You foster a healthy, inclusive, challenging, and supportive work environment. Preferred requirements You are comfortable working with geographically distributed teams Expertise in time series forecasting, predictive modeling, or optimization Expertise in data design and building reputed company data architectures Apply To This Job